ZipRecruiter

Log In

1

Intern Computer Vision Deep Learning Engineer Jobs in Maryland

Autodesk

Experience training deep neural nets, such as CNN and transformers and proficiency in least one ... Strong fundamentals in 3D geometry and geometric computer vision * Exposure to Cloud Computing in ...

Blend360

Associate Director of Data Science

Columbia, MD · On-site +1

$58K - $59K/yr

Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

Blend360

Associate Director of Data Science

Columbia, MD

$58K - $59K/yr

Design and implement AI solutions leveraging advanced techniques, including prompt engineering, agentic architectures, RAG, computer vision, predictive modeling, deep learning, and optimization.

Xometry

Senior Machine Learning Engineer

North Bethesda, MD · Hybrid

$104K - $143K/yr

... and applying models at scale using deep learning frameworks like PyTorch or Tensorflow ... We also offer a competitive benefits package, including 401(k) match, medical, dental and vision ...

next page

Showing results 1-20

All JobsIntern Computer Vision Deep Learning Engineer JobsIntern Computer Vision Deep Learning Engineer Jobs in Maryland

Intern Computer Vision Deep Learning Engineer information

What is the difference between Intern Computer Vision Deep Learning Engineer vs Intern Machine Learning Engineer?

AspectIntern Computer Vision Deep Learning EngineerIntern Machine Learning Engineer
Required SkillsComputer vision, deep learning, CNNs, Python, TensorFlow/PyTorchMachine learning, algorithms, Python, scikit-learn, TensorFlow/PyTorch
Work EnvironmentResearch labs, tech companies, startups focusing on image/video analysisTech companies, research labs, startups working on diverse ML applications
Industry UsagePrimarily in computer vision projects like object detection, image segmentationBroader ML projects including predictive modeling, NLP, recommendation systems

Intern Computer Vision Deep Learning Engineers focus on image and video analysis using deep learning techniques, while Intern Machine Learning Engineers work on a wider range of ML applications. Both roles require strong Python skills and familiarity with deep learning frameworks, but their project focus and industry applications differ.

What types of projects or tasks can I expect to work on as an Intern Computer Vision Deep Learning Engineer?

As an Intern Computer Vision Deep Learning Engineer, you can expect to contribute to projects involving image or video analysis, such as object detection, image classification, or facial recognition. Your daily tasks might include data preprocessing, annotating datasets, training and evaluating deep learning models, and assisting with model optimization for deployment. You’ll often work closely with senior engineers and researchers, gaining hands-on experience with real-world datasets and cutting-edge frameworks. Collaboration with cross-functional teams, such as software developers and product managers, is common to ensure your models address practical business needs.

What does an Intern Computer Vision Deep Learning Engineer do?

An Intern Computer Vision Deep Learning Engineer assists in developing and improving algorithms that enable computers to interpret and understand visual information from the world, such as images and videos. They often work on tasks like image classification, object detection, and facial recognition using deep learning frameworks like TensorFlow or PyTorch. Interns typically help with data collection, model training, evaluation, and sometimes deployment, all under the guidance of experienced team members. This role is a great opportunity to gain hands-on experience in machine learning and computer vision while contributing to real-world projects.

What are the key skills and qualifications needed to thrive as an Intern Computer Vision Deep Learning Engineer, and why are they important?

To thrive as an Intern Computer Vision Deep Learning Engineer, you need a solid understanding of machine learning fundamentals, computer vision concepts, and proficiency in programming languages like Python, often supported by coursework or personal projects. Familiarity with deep learning frameworks such as TensorFlow or PyTorch and experience with image processing libraries like OpenCV are typically expected. Strong problem-solving abilities, curiosity, and effective teamwork skills help interns excel in fast-paced research and development environments. These skills are essential for contributing to innovative projects and adapting to the rapidly evolving field of computer vision.
What are the most commonly searched types of Computer Vision Deep Learning Engineer jobs in Maryland? The most popular types of Computer Vision Deep Learning Engineer jobs in Maryland are:
What are popular job titles related to Intern Computer Vision Deep Learning Engineer jobs in Maryland? For Intern Computer Vision Deep Learning Engineer jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Intern Computer Vision Deep Learning Engineer jobs in Maryland look for? The top searched job categories for Intern Computer Vision Deep Learning Engineer jobs in Maryland are:
What cities in Maryland are hiring for Intern Computer Vision Deep Learning Engineer jobs? Cities in Maryland with the most Intern Computer Vision Deep Learning Engineer job openings:
Intern Computer Vision Deep Learning Engineer jobs near you
Data Scientist II

Data Scientist II

Science and Technology Corporation (STC)

Aberdeen Proving Ground, MD

Full-time

Posted 4 days ago

Job description

About Science and Technology Corporation (STC): STC is a science and engineering research and services support company with proven expertise and experience spanning research, development, test, and evaluation in areas including aerospace engineering, earth and atmospheric sciences, chemical and biological defense, military systems and technology, and software development. Employment Category: Full Time / Exempt Location: Aberdeen Proving Ground (APG), MD, Travel: Minimal Security Clearance: DoD Secret Eligible, Active clearance preferred. Citizenship: Must be a U.S

Citizen Responsibilities: Develop and apply state-of-the-art artificial intelligence (AI) and machine learning (ML) tools and algorithms to optimize DoD chemical and biological detection and identification systems. Work as part of a government scientific team developing and updating military sensors. Lead development of some efforts.

Develop software applications in Python and apply machine learning techniques to improve the detection of chemical and biological materials. Develop, test, train, and maintain applications for developmental sensors. Develop and use tools to import, process, and store instrument and sensor datafiles for use in applications.

Lead small development efforts and mentor junior developers. Support field testing, train users, and assess system performance. Remain current on related subjects in the literature and news.

Assist with the preparation of reports, journal articles, and presentations. Education: Bachelor's degree in data science, computer science, or a related discipline U.S. Citizen eligible for a DoD security clearance 3 to 9 years advanced proficiency with Python coding 3 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with TensorFlow or PyTorch Advanced proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule

Bonus points if you have: Active DoD Security clearance Master's degree in data science or related discipline College chemistry or biology coursework Experience with bioinformatics and genetic algorithm developmentU.S. Citizen eligible for a DoD security clearance 3 to 9 years advanced proficiency with Python coding 3 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with TensorFlow or PyTorch Advanced proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in data science or related discipline College chemistry or biology coursework Experience with bioinformatics and genetic algorithm developmentU.S

Citizen eligible for a DoD security clearance 3 to 9 years advanced proficiency with Python coding 3 years ML project experience including deep learning, NLP, and/or computer vision Advanced proficiency with TensorFlow or PyTorch Advanced proficiency in another object-oriented programming language (C++ or JavaScript) Advanced proficiency with databases Excellent oral and written communication skills in English Demonstrated ability to learn new skills quickly, multitask, and complete work within schedule. Bonus points if you have: Active DoD Security clearance Master's degree in data science or related discipline College chemistry or biology coursework Experience with bioinformatics and genetic algorithm development

Apply